Local Constraint Restoration Stabilizes Coherent Histories Under Irreversible Record Formation

The emergence of a single, coherent classical world requires more than a macroscopic arrow of time. While irreversible record formation establishes temporal ordering, it does not by itself ensure that macroscopic histories remain mutually consistent rather than fragmenting into incompatible configurations. We study a minimal network-based model in which local records accumulate irreversibly, generating time but not necessarily global coherence. We show that, in the absence of a consistency-restoring mechanism, macroscopic states fragment even under causal dynamics. Introducing constraint restoration stabilizes coherence; critically, this restoration need not be diffusive, acausal, or globally optimized. A single, strictly local, finite-speed constraint update per timestep suffices to suppress inconsistency, even on adversarial frustrated graphs and as system size increases. These results identify local constraint restoration as a minimal structural requirement for macroscopic coherence under irreversibility, and provide a concrete instantiation of the Coherence–Selection Interface Theory framework for selection under constraint [10]. Keywords: arrow of time, irreversibility, macroscopic coherence, decoherence, consistent histories, graph Laplacian, local constraint restoration

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-16
DOI
https://doi.org/10.5281/zenodo.18273538
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Local Constraint Restoration Stabilizes Coherent Histories Under Irreversible Record Formation

Brent W. Jonah
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Local Constraint Restoration Stabilizes Coherent Histories Under Irreversible Record Formation

Brent W. Jonah
article en

Abstract

The emergence of a single, coherent classical world requires more than a macroscopic arrow of time. While irreversible record formation establishes temporal ordering, it does not by itself ensure that macroscopic histories remain mutually consistent rather than fragmenting into incompatible configurations. We study a minimal network-based model in which local records accumulate irreversibly, generating time but not necessarily global coherence. We show that, in the absence of a consistency-restoring mechanism, macroscopic states fragment even under causal dynamics. Introducing constraint restoration stabilizes coherence; critically, this restoration need not be diffusive, acausal, or globally optimized. A single, strictly local, finite-speed constraint update per timestep suffices to suppress inconsistency, even on adversarial frustrated graphs and as system size increases. These results identify local constraint restoration as a minimal structural requirement for macroscopic coherence under irreversibility, and provide a concrete instantiation of the Coherence–Selection Interface Theory framework for selection under constraint [10]. Keywords: arrow of time, irreversibility, macroscopic coherence, decoherence, consistent histories, graph Laplacian, local constraint restoration

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 86%
Neural Networks and Reservoir Computing
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